基于机器学习的配电网继电保护自动化控制方法研究  

Research on Automatic Control Method of Relay Protection in Distribution Network Based on Machine Learning

作　　者：鲍勇豪 BAO Yonghao(Shanxi Huaxin Electric Co.,Ltd.,Yangquan 045000,China)

机构地区：[1]山西华鑫电气有限公司,山西阳泉045000

出　　处：《通信电源技术》2024年第14期58-60,共3页Telecom Power Technology

摘　　要：在现代配电网中,继电保护系统扮演着至关重要的角色,保证了电网的稳定性和安全性。随着人工智能技术的发展,特别是机器学习的进步,提供了一种新的思路来提高继电保护系统的智能化和自动化水平。机器学习能够通过学习历史数据来识别模式和异常,从而实现更加精确和自适应的故障识别与响应。文章介绍了机器学习的基本概念及其在继电保护中的应用场景,详细描述了基于机器学习的自动化控制方法的设计与实现,通过这些技术的综合运用,展示了如何通过机器学习提高配电网继电保护的自动化和智能化水平,为实现更高效、更可靠的电网操作提供有效的技术支持。In modern distribution networks,relay protection systems play a vital role,ensuring the stability and security of the power grid.With the development of artificial intelligence technology,especially the advancement of machine learning,a new idea is provided to enhance the intelligence and automation level of relay protection systems.Machine learning can learn from historical data to identify patterns and anomalies,allowing for more precise and adaptive fault identification and response.This article first introduces the basic concepts of machine learning and its application scenarios in relay protection.It describes in detail the design and implementation of automatic control methods based on machine learning.Through the comprehensive application of these technologies,it shows how to enhance configuration through machine learning.The level of automation and intelligence of power grid relay protection provides effective technical support for achieving more efficient and reliable power grid operations.

关 键 词：机器学习算法 配电网继电保护 自动化控制 

分 类 号：TM77[电气工程—电力系统及自动化]